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AAMAS
2005
Springer
13 years 7 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
HIS
2003
13 years 8 months ago
Cooperative Transportation by Humanoid Robots: Learning to Correct Positioning
In this paper, we describe a cooperative transportation problem with two humanoid robots and introduce a machine learning approach to solving the problem. The difficulty of the ta...
Yutaka Inoue, Takahiro Tohge, Hitoshi Iba
ATAL
2005
Springer
14 years 25 days ago
Coordinated exploration of unknown labyrinthine environments applied to the pursuit evasion problem
This paper introduces a multi-robot cooperation approach to solve the pursuit evasion problem for mobile robots that have omnidirectional vision sensors in unknown environments. T...
Damien Pellier, Humbert Fiorino
ICRA
2008
IEEE
160views Robotics» more  ICRA 2008»
14 years 1 months ago
A constrained optimization approach to virtual fixtures for multi-handed tasks
— In this work, we have extended the concept of constrained motion control of robots to surgical tasks that require multiple robots. We present virtual fixtures to guide the mot...
Ankur Kapoor, Russell H. Taylor
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
14 years 20 days ago
Learning to Acquire Autonomous Behavior: Cooperation by Humanoid Robots
In this paper, we describe a cooperative transportation to a target position with two humanoid robots and introduce a machine learning approach to solving the problem. The difficul...
Yutaka Inoue, Takahiro Tohge, Hitoshi Iba